Computer Vision learning

My findings and learning on Computer Vision topics.

Development environment

I'm using the Docker container from Learn OpenCV website. Use these commands for pull and usage:

# Get started
docker pull spmallick/opencv-docker:opencv
xhost +local:docker
docker run -v $(pwd):/localdisk --device=/dev/video0:/dev/video0 -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -p 5000:5000 -p 8888:8888 -it spmallick/opencv-docker:opencv /bin/bash

# If you're using two webcams
docker run -v $(pwd):/localdisk --device=/dev/video0:/dev/video0 --device=/dev/video1:/dev/video1 -v /tmp/.X11-unix:/tmp/.X11-unix -e DISPLAY=$DISPLAY -p 5000:5000 -p 8888:8888 -it spmallick/opencv-docker:opencv /bin/bash

# To reuse the development container
docker start  <container_hash>
docker attach <container_hash>

Object detection

Based on the content of Deteccion de objetos course in Coursera.

Other references

• Marcela's previous work